Instructions to use raphaelsty/distilbert-sparsembed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raphaelsty/distilbert-sparsembed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="raphaelsty/distilbert-sparsembed")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("raphaelsty/distilbert-sparsembed") model = AutoModelForMaskedLM.from_pretrained("raphaelsty/distilbert-sparsembed") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e3e0f4d9856335b81aedd120e598f5e923c9adb918e4dc4b082ddb12fbd34c77
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size 267954768
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